Amazon MemoryDB vs. MongoDB Atlas
A side-by-side comparison based on G2 review data.
| Metric | Amazon MemoryDB | MongoDB Atlas |
|---|---|---|
| Overall rating | 4.4 | 4.5 |
| Review count | 22 | 906 |
| Ease of use | 9.3 | 8.9 |
| Ease of setup | 9.4 | 8.9 |
| Quality of support | 8.8 | 8.8 |
| Meets requirements | 9.3 | 9.0 |
| NPS | 54.545455 | 70.409357 |
| Small Business | 31.8% | 45.2% |
| Mid-Market | 27.3% | 25.9% |
| Enterprise | 40.9% | 29.0% |
| Total page views | 53 | 916 |
| Total LLM citations | 32 | 6,190 |
Amazon MemoryDB
Amazon MemoryDB for Redis is a Redis-compatible, durable, in-memory database that delivers ultra-fast performance and Multi-AZ durability. With Amazon MemoryDB for Redis, you only pay for what you use with no minimum fee. A node is the smallest building block of a MemoryDB cluster. Each node supports varying amounts of computation and memory capacity, and you can select a node type based on your needs. You are charged based on three components: on-demand instance hours per node, volume of data written to your cluster, and snapshot storage that you use.
MongoDB Atlas
MongoDB Atlas is a developer data platform that provides a tightly integrated collection of data and application infrastructure building blocks to enable enterprises to quickly deploy bespoke architectures to address any application need. Atlas supports transactional, full-text search, vector search, time series and stream processing application use cases across mobile, distributed, event-driven, and serverless architectures.
- Ease of Use
- User Interface
- Scalability
- Features
- Reliability
- Performance